{"id":"W2613196871","doi":"10.3847/1538-4357/aa86a9","title":"The Mira-Titan Universe. II. Matter Power Spectrum Emulation","year":2017,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Oak Ridge National Laboratory; Argonne National Laboratory; Aspen Center for Physics; Advanced Scientific Computing Research; High Energy Physics; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Matter power spectrum; Physics; Neutrino; Dark energy; COSMIC cancer database; Redshift; Spectral density; Cosmology; Universe; Computer science; Astrophysics; Particle physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001887025,0.0001548323,0.0001294064,0.00002362717,0.004543469,0.0005444944,0.0007263225,0.00001934239,0.000678964],"category_scores_gemma":[0.00000601199,0.00008892839,0.0001674514,0.00004692448,0.0002503101,0.0006101349,0.0002224626,0.0004055239,0.0006202298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000786743,"about_ca_system_score_gemma":0.00005427658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000434325,"about_ca_topic_score_gemma":0.000002731247,"domain_scores_codex":[0.9989204,0.00007840756,0.0002324582,0.000114179,0.0002982296,0.0003562648],"domain_scores_gemma":[0.9987938,0.00004150883,0.0003941481,0.0005850776,0.00008605565,0.00009939101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009104735,0.0001596181,0.8051934,0.000001660885,0.0002237407,1.670001e-7,0.001320078,0.0002609419,0.001432913,0.1792324,0.01094505,0.001139016],"study_design_scores_gemma":[0.0003519116,0.00006123135,0.9566218,0.000008758889,0.00002585006,0.000005778971,0.0003959814,0.0005687397,0.00007754091,0.04016282,0.001615168,0.0001044087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988166,0.000006190854,0.002224678,0.005761772,0.0004192853,0.0001035406,0.000006513092,0.0000116009,0.003300455],"genre_scores_gemma":[0.9966276,0.000001621675,0.0001643155,0.000007815001,0.001206246,0.000002770599,0.000003660149,0.00001709656,0.001968864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1514285,"threshold_uncertainty_score":0.9967525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006134310277090394,"score_gpt":0.2104621409154313,"score_spread":0.204327830638341,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}